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Journal: Cell Reports Medicine
Article Title: Dual PD-1/IL-2Rα targeting restores CD8 + T cell fitness via STAT5/CD47 axis in SMARCA4-deficient NSCLC
doi: 10.1016/j.xcrm.2026.102633
Figure Lengend Snippet: PD-1/IL-2 bsAb protects CD8 + T cells from macrophage phagocytosis via STAT5-mediated upregulation of CD47 (A) Schematic of the Cleavage Under Targets and Tagmentation (CUT&Tag) assays workflow. (B) Distribution of STAT5 binding signals relative to transcription start sites (TSS) in CD8 + T cells treated with or without the PD-1/IL-2 bsAb. (C) Genomic annotation of differentially enriched STAT5 binding peaks in the bsAb-treated group. (D) KEGG pathway enrichment analysis of genes associated with STAT5 binding peaks. (E and F) Strategy and Venn diagram for identifying potential STAT5 downstream genes. (G) ChIP-qPCR analysis of STAT5 binding to the promoter regions of selected candidate genes ( n = 3). (H) Genome browser tracks showing STAT5 binding signals at the CD47 locus in control and PD-1/IL-2 bsAb-treated CD8 + T cells. (I) Schematic of the macrophage phagocytosis assay. (J) Representative confocal microscopy images showing macrophages (red) engulfing CD8 + T cells (green). Scale bars, 20 μm. (K) Flow cytometry quantification of the percentage of macrophages that had phagocytosed CD8 + T cells under the indicated conditions ( n = 3). Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by unpaired Student’s t test or one-way ANOVA where appropriate.
Article Snippet:
Techniques: Binding Assay, ChIP-qPCR, Control, Phagocytosis Assay, Confocal Microscopy, Flow Cytometry
Journal: Cell Reports Medicine
Article Title: Dual PD-1/IL-2Rα targeting restores CD8 + T cell fitness via STAT5/CD47 axis in SMARCA4-deficient NSCLC
doi: 10.1016/j.xcrm.2026.102633
Figure Lengend Snippet: CD47 protects CD8 + T cells from macrophage clearance to boost antitumor immunity in SMARCA4-deficient NSCLC (A) Schematic of the adoptive T cell therapy experiment ( n = 8/group). (B) Representative in vivo bioluminescence images of mice from the indicated treatment groups at different time points. (C) Tumor growth curves, as measured by bioluminescence, for mice in each treatment group. (D) Individual tumor growth curves for mice in each treatment group. (E) Kaplan-Meier survival curves of mice from the four treatment groups. (F) Quantification by flow cytometry of donor-derived CD45.2 + CD8 + T cells among total tumor-infiltrating lymphocytes. (G) Representative flow cytometry plots for donor-derived CD45.2 + CD8 + T cells expressing the exhaustion markers PD-1, TIGIT, and TIM-3. (H) Quantification of the percentage of CD45.2 + CD8 + T cells expressing PD-1, TIGIT, and TIM-3. (I) The production of TNF-α by donor-derived CD45.2 + CD8 + T cells. (J) The production of IFN-γ by donor-derived CD45.2 + CD8 + T cells. (K) Representative immunofluorescence images of tumor sections. White: CD8, green: CD47, red: F4/80. Scale bars, 70 μm. (L) Schematic model depicting the proposed mechanism of action. Data are represented as mean ± SD (error bars) from biological replicates. Statistical analyses, n.s., no significance. Statistical significance was determined by one-way ANOVA.
Article Snippet:
Techniques: In Vivo, Flow Cytometry, Derivative Assay, Expressing, Immunofluorescence